Xuehong Chen

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Roots have important functions in the ecosystem. Therefore, establishing root-related parameters such as root size, biomass, and 3-D architecture is necessary. Traditional methods for measuring tree roots are labor intensive and destructive to nature, limiting quantitative and repeated assessments in long-term research. Ground-penetrating radar (GPR)(More)
Vegetation-index-based spatial sharpening technologies were developed for improving the spatial resolution of thermal-infrared (TIR) images. Previous studies showed that the relationship between vegetation index and surface temperature is independent with spatial resolution. However, spatial extent is another scale factor which may affect the relationship(More)
Conventional image fusion algorithm, such as IHS, SVR, PCS, etc., may show some defects in inheriting the higher-spectral information embedded in the original lower-spatial resolution MS image. A fusion method based on spectral mixture analysis (FSMA) was proposed in previous study, which has potential in solving this problem. While published results are(More)
Linear and nonlinear spectral mixture analysis has been studied for deriving the fractions of spectrally pure materials in a mixed pixel in the past decades. However, not much attention has been given to the collinearity problem in spectral unmixing. In this paper, quantitative analysis and detailed simulations are provided which show that the high(More)
There have been many studies and much attention paid to spatial sharpening for thermal imagery. Among them, TsHARP, based on the good correlation between vegetation index and land surface temperature (LST), is regarded as a standard technique because of its operational simplicity and effectiveness. However, as LST is affected by other factors (e.g., soil(More)